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          <h1 class="post-title" itemprop="name headline">Celery的坑</h1>
        

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        <h1 id="Celery-pool选用prefork时多进程-协程的坑"><a href="#Celery-pool选用prefork时多进程-协程的坑" class="headerlink" title="Celery pool选用prefork时多进程+协程的坑"></a>Celery pool选用prefork时多进程+协程的坑</h1><h2 id="坑一：节点和Broker断联"><a href="#坑一：节点和Broker断联" class="headerlink" title="坑一：节点和Broker断联"></a>坑一：节点和Broker断联</h2><p>背景：<br>Celery默认使用多进程提高并发，因为task中多是发送Http请求，所以我采用gevent来提高并发。</p>
<p>代码片段如下：<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br></pre></td><td class="code"><pre><span class="line">from gevent import monkey</span><br><span class="line">monkey.patch_all()</span><br><span class="line"></span><br><span class="line">@app.task</span><br><span class="line">def poc_call(jsondata):</span><br><span class="line">    ...</span><br><span class="line">    业务代码</span><br><span class="line">    ...</span><br></pre></td></tr></table></figure></p>
<p>现象：<br>Broker选的是Rabbitmq，打了monkey补丁后，运行一段时间后，在RabbitMQ Management管理页面中查看consumer，发现已经没有Celery节点信息。</p>
<p>原因：<br>猜测原因gevent monkey补丁改变socket库，进而导致基于socket的kombu库异常</p>
<p>验证：</p>
<ol>
<li>注释掉monkey补丁，没有观察到broker断联的情况<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br></pre></td><td class="code"><pre><span class="line">from gevent import monkey</span><br><span class="line"># monkey.patch_all()</span><br><span class="line"></span><br><span class="line">@app.task</span><br><span class="line">def poc_call(jsondata):</span><br><span class="line">    ...</span><br><span class="line">    业务代码</span><br><span class="line">    ...</span><br></pre></td></tr></table></figure>
</li>
</ol>
<p>解决方案：</p>
<ol>
<li>在task中创建子进程，在子进程中使用gevent<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br></pre></td><td class="code"><pre><span class="line">from billiard.context import Process</span><br><span class="line"></span><br><span class="line">@app.task</span><br><span class="line">def poc_call(json_data):</span><br><span class="line">    p = Process(target=_poc_call, args=(json_data,))</span><br><span class="line">    p.start()</span><br><span class="line">    p.join()</span><br></pre></td></tr></table></figure>
</li>
</ol>
<p>需要注意的是开启新进程时，如果使用<code>multiprocess</code>库，会报错<br>  <figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br></pre></td><td class="code"><pre><span class="line">File &quot;/data/poc-worker/tasks.py&quot;, line 336, in poc_call</span><br><span class="line">   p.start()</span><br><span class="line"> File &quot;/usr/lib/python2.7/multiprocessing/process.py&quot;, line 124, in start</span><br><span class="line">   &apos;daemonic processes are not allowed to have children&apos;</span><br><span class="line">AssertionError: daemonic processes are not allowed to have children</span><br></pre></td></tr></table></figure></p>
<p>这个问题的解决办法：<br>可以使用<code>billiard</code>库，<code>from billiard.context import Process</code></p>

      
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